GitHub
observability
Structured logging, debugging techniques (pdb/ipdb), profiling (cProfile/line_profiler), stack traces, performance monitoring, and metrics. Use when adding logging, debugging issues, or optimizing performance.
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部署与运维 AI 技能
发现 部署与运维 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: 部署与运维
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GitHub
project-alignment
PROJECT.md alignment patterns and validation strategies
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GitHub
skill-integration-templates
Standardized templates and patterns for integrating skills into agent prompts. Reduces token overhead through reusable skill reference syntax, action verbs, and progressive disclosure usage guidelines.
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GitHub
consistency-enforcement
Documentation consistency enforcement - prevents drift between README.md and actual codebase state. Auto-activates when updating docs, committing changes, or working with skills/agents/commands.
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GitHub
git-workflow
Git best practices, commit conventions, branching strategies, and pull request workflows. Use when working with git operations, commits, branches, or PRs.
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GitHub
agent-output-formats
Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.
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GitHub
cross-reference-validation
Validates all documentation references - file paths, links, line numbers, code examples
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GitHub
gaik-toolkit
GAIK (Generative AI Knowledge Management Toolkit) development guidance. Use when working with: structured data extraction from documents/PDFs/audio, schema generation, document parsing (VisionParser, PyMuPDFPar...
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GitHub
orchestrator
Thin orchestrator for Task Decomposition Protocol v2. Supports two modes - /plan (decompose spec into tasks) and /execute (run tasks via subagents). Delegates all state management to the tasker CLI.
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GitHub
tasker-to-beads
Transform Tasker task definitions into rich, self-contained Beads issues. Bridges ephemeral execution units with persistent planning artifacts.
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GitHub
runtime-logger
Emit info-level logs to file during task execution, similar to logger.info() calls in code
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GitHub
mem-status
Show memory system status and tracked projects. Use to check memory system health and list projects.
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GitHub
mem-repair
Repair common issues with the memory system. Cleans up orphan temp files, stale sessions, lock files, and old logs.
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GitHub
mem-consolidate
Two-phase cleanup - normalize long filenames, then consolidate semantic duplicates using AI
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GitHub
mem-validate
AI-powered validation of knowledge notes against current codebase. Detects stale content by comparing documented knowledge with actual files.
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GitHub
mem-fix
Fix issues detected by mem-audit. Supports dry-run mode to preview changes before applying them.
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GitHub
mem-search
Search the Claude Code knowledge base for errors, solutions, decisions, and patterns. Use this to find information from your memory system.
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GitHub
mem-save
Explicitly save knowledge, patterns, decisions, or learnings to the knowledge base. Use when you want to document something for future reference.
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GitHub
mem-audit
Scan the knowledge base for structural issues like broken links, orphan notes, missing indexes, and optionally AI-powered content staleness detection.
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GitHub
spec
Write specifications at the right depth for any project. Progressive disclosure from quick Linear issues to full AI feature specs. Embeds Linear Method philosophy (brevity, clarity, momentum) with context engin...
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GitHub
agency-ladder
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework...
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GitHub
agent-workflow
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrat...
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GitHub
shape-up
Shape work using the Shape Up methodology (Ryan Singer, Basecamp). Walk through the 4-step shaping process to create pitches ready for betting. Distinguishes between established product mode (fixed time, variab...
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GitHub
context-engineering
[ARCHIVED] Full 4D Context Canvas reference. For new AI features, use /spec --ai. For debugging, use /ai-debug. For quality checks, use /context-check.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。